Solutions Architect

We are seeking an experienced Data Solutions Architect to join a high-impact Professional Services engagement with a strategic enterprise customer. This is a hands-on contract role for a technical expert who thrives working directly with clients on complex data and AI transformation initiatives using the Databricks platform.

You will act as a trusted technical advisor, guiding the customer through architectural decisions, hands-on delivery, and platform adoption, helping them extract maximum value from their data.

What You Will Be Doing

• Lead short-to-medium term customer engagements covering data engineering, data science, and cloud architecture on Databricks
• Design and build reference architectures, productionalise customer use cases, and create scalable how-to guides
• Integrate Databricks platform capabilities with client systems and existing data infrastructure
• Advise on Lakehouse architecture, Delta Lake, Unity Catalog, Apache Spark, and MLflow best practices
• Deliver training and enablement sessions to customer data teams
• Contribute to internal knowledge sharing and best-practice documentation

Must-Have Skills & Experience

• 10+ years working with Big Data technologies (Apache Spark, Kafka, Data Lakes) in a customer-facing, post-sales, or consulting capacity
• 4+ years as a Solutions Architect designing and delivering Big Data solutions for enterprise clients
• Deep expertise in Apache Spark and distributed computing including performance optimisation and streaming
• Hands-on coding ability in Python, PySpark, and/or Scala
• Strong working knowledge of the Databricks Lakehouse Platform
• Experience with at least one major cloud platform (Azure, AWS, or GCP) in a data architecture context
• Excellent communication skills, able to translate complex technical concepts for both engineering and business audiences

Highly Desirable

• Databricks Certified Data Engineer Associate or Professional certification
• Experience with MLflow, MosaicML, or GenAI tooling on Databricks
• Knowledge of real-time streaming pipelines
• Prior experience in a Big 4, GSI, or specialist data consultancy
• Familiarity with Microsoft Azure Data Engineer or AWS Data Analytics certifications

What We Are Looking For in You

Beyond the technical credentials, the right person for this role will bring:

• Genuine intellectual curiosity about data and AI technology
• A consultative mindset: you listen first, then architect the right solution
• Adaptability and a growth mindset in a fast-moving, high-growth environment
• Strong accountability — you deliver what you commit to, and take ownership of outcomes
• Collaborative approach: comfortable working across client teams, sales, and field engineering

To apply or find out more, please get in touch.

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